Recommendation method and recommender computer system using dynamic language model

A recommender computer system using dynamic language model, comprising:

• a language model constructing computer module used for analyzing a plurality of word occurrence probabilities of a plurality of words of one or a plurality of sentences and a plurality of word continuation probabilities among the words, and constructing one or a plurality of language models according to the word occurrence probabilities and the word continuation probabilities by at least an electric element;
• a language model adapting computer module comprising an adapting unit for constructing a dynamic language model according to the one or a plurality of language models by at least an electric element;
• a sentence selecting computer module used for generating a plurality of recommended sentences from a database containing one or a plurality of sentences by a search process according to a search keyword by at least an electric element;
• and
• a sentence recommendation computer module used for analyzing the difference level between each of the recommended sentences and the dynamic language model in terms of the word occurrence probabilities and the word continuation probabilities so as to generate a plurality of difference levels and sort the recommended sentences according to the difference levels to provide a recommendation list by at least an electric element.